Evidence map›Paper›PMID 42719474›Full record

ArticleCureus2026

Clinical Profile, Severity Markers, and Outcomes of Hospitalized Patients With Scrub Typhus in North India: A Prospective Observational Study.

Ashish Jangid, Shobhit Agarwal, Dilip Chaurasiya, Shalini Singh, Mohammad Shafat Siddiqui, Neeraj Singh, O P Tiwari, Akash Marade, Prashant Pandey, Abhijeet Tripathi

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ashish JangidGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Shobhit AgarwalGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Dilip ChaurasiyaGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Shalini SinghMicrobiology, Heritage Institute of Medical Sciences, Varanasi, IND.
Mohammad Shafat SiddiquiInternal Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Neeraj SinghPathology, Heritage Institute of Medical Sciences, Varanasi, IND.
O P TiwariGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Akash MaradeGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Prashant PandeyGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.
Abhijeet TripathiGeneral Medicine, Heritage Institute of Medical Sciences, Varanasi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scrub typhus is an important cause of acute febrile illness in India, with often devastating complications in hospitalized patients. These complications contribute to morbidity and mortality if the condition is not diagnosed early and treated. A prospective observational study was conducted in the Department of General Medicine at a tertiary care teaching hospital in North India from June 2024 to May 2025 and included 35 patients with confirmed scrub typhus. Laboratory parameters, complications, and outcomes were analyzed. Data were analyzed statistically using IBM SPSS Statistics version 25.0. The chi-square or Fisher's exact test was used to test associations with categorical variables. The mean age of patients was 45 ± 16 years, with 20 of 35 patients (57.1%) being male. All 35 patients (100%) had fever, while 24 (68.6%) had myalgia and 23 (65.7%) had headache as the main presenting complaints. An eschar was identified in 10 (28.6%) patients. Major complications included acute kidney injury (AKI) in 10 (28.6%) patients, acute respiratory distress syndrome (ARDS) in 7 (20.0%), and multiple organ dysfunction syndrome (MODS) in 11 (31.4%). Thirteen (37.1%) patients required ICU admission, and 4 (11.4%) died during hospitalization. There was a significant association of MODS, ARDS, and AKI with mortality (

Indexed as

akiardshospitalized patientsicumodsmortalityscrub typhus

Identifiers

PMID42719474
PMCPMC13557292

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.